Ai Technical Architect Job at Randstad (City of London)

Contact Center AI Architect

Job Title: Contact Center AI Architect. Job Summary: Lead design solutions/solut...

Location

United States , Chicago

Salary:

72.00 USD / Hour

Realign

Expiration Date

Until further notice

Requirements

8+ years of hands on technical experience in Contact Center & CX platforms
Proven experience delivering IVR, web chat, and AI-powered virtual assistant solutions
Solid technical understanding of cloud platforms (AWS/Azure/GCP), APIs, CI/CD, web technologies, and DevOps practices
Strong organizational and stakeholder management skills across technical and non-technical teams
Experience with Agile/Scrum or SAFe frameworks and tools (e.g., Jira, Confluence, Azure DevOps)
Excellent communication, leadership, and documentation abilities
Knowledge of APIs, JSON, XML, and OAuth
Experience with language: Node.js, Python
Familiarity with CI/CD pipelines/DevOps and version control tools like Git
Knowledge of customer journey mapping, persona design, and voice UX best practices

Job Responsibility

Lead design solutions/solution blue prints, artifacts/ hands on code involving Conversational AI, IVR systems, chatbot/web chat solutions, and cloud-native web applications
Collaborate with technology leads/developers, business SMEs, UX designers, and technology stakeholders to define technical deliveries
Drive integration of Voice and Web-based channels with back-end systems, APIs and analytics platforms
Coordinate with Cloud infrastructure teams (AWS, Azure, or GCP) to ensure scalable, secure, and high-performance deployments
Lead/design/architecting API integrations between internal platforms, external systems, and cloud services
Collaborate with development, infrastructure, and product teams to gather integration requirements and translate them into scalable technical solutions

Azure AI Architect

Delivery Centric is seeking a highly skilled Azure AI Architect to lead the desi...

Location

Australia

Salary:

Not provided

Delivery Centric Technologies

Expiration Date

Until further notice

Requirements

10+ years of IT experience, with 5+ years in Azure AI, cloud architecture, and data-driven engineering
Strong hands-on experience with Azure OpenAI, Azure AI Services, Cognitive Search, Vector Databases, Form Recognizer, and AI Foundry
Expertise in deploying, fine-tuning, and optimizing generative AI and LLM-based solutions
Proficiency in Python, PySpark, MLOps, LLMOps, and AI/ML development practices
Solid knowledge of machine learning, NLP, data engineering, and large-scale data processing
Strong understanding of Kubernetes, Git, CI/CD, and cloud-native solution delivery
Excellent communication and stakeholder management skills with the ability to influence technical and business decisions
Relevant Azure or AI certifications are highly desirable

Job Responsibility

Architect and implement enterprise-grade AI, GenAI, and cognitive solutions using Azure OpenAI, Azure AI Services, AI Search, Vector Databases, and AI Foundry
Lead AI strategy, solution roadmaps, and multi-year transformation programs aligned to customer goals
Design, deploy, fine-tune, and optimize generative AI models and large language models
Build and govern scalable AI and data pipelines using Python, PySpark, Azure ML, MLOps, and LLMOps frameworks
Provide architectural guidance, governance, and leadership to technical and delivery teams
Develop hybrid/on-cloud AI architectures with strong security, data governance, and compliance guardrails
Conduct workshops, training sessions, and enablement programs to help customers adopt AI capabilities
Collaborate with business, engineering, and data teams to ensure alignment on solution design and delivery
Produce architecture blueprints, design documents, technical presentations, and best-practice guidelines

Fulltime

Sr. Technical AI Enablement Engineer

ModelOp is seeking a highly skilled Sr Technical AI Enablement Engineer to join ...

Location

United States , Utah, Chicago

Salary:

Not provided

ModelOp

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Software Engineering, or a related field
10+ years of experience in technology-based consulting, technical enablement, or related roles
Experience in custom software delivery and complex system troubleshooting
Exceptional presentation skills for all audiences: from senior business executives to data scientists, architects, and governance teams
Proven ability to translate loose AI governance requirements into actionable implementation details across multiple workstreams
Experience with AI tools, platforms, and model development processes, along with a solid understanding of how governance and compliance mechanisms apply at each stage of the AI model lifecycle
Familiarity with AI regulations/guidelines (e.g. EU AI Act, OSFI E-23, NIST AI-RMF), ideally in specific verticals (e.g. SEC/OCC, FDA)
Strong experience in working with technical teams to embed governance processes into an existing model lifecycle

Job Responsibility

Implementation Planning: Lead customers in planning the implementation of ModelOp within the customer’s existing AI program
Technical Troubleshooting: When customer issues are raised, take lead on triaging the issue, and work with the customer technical team to obtain information (logs, etc.), conduct initial troubleshooting, and identify the next course of action
Process Design: Collaborate with customer teams to translate the customer’s AI governance policies and procedures into actionable and automated workflows within ModelOp, whilst simultaneously advising on best practices from other customers and experience
Inventory & Reporting Configuration: lead customers in designing the appropriate customizations for the metadata structure, use case forms, and dashboards within ModelOp to align with their inventory and reporting requirements
Testing & Monitoring Enablement: lead customer sessions in identifying and configuring the right set of tests and monitors for their specific AI use cases / models
Customer Enablement: Work closely with the customer to drive consumption of ModelOp software, by onboarding new AI use cases in the platform
Training & Support: Lead customer workshops, training sessions, and knowledge transfer activities to ensure customer teams understand and can effectively use ModelOp for their daily AI governance work
Documentation: Document processes, configurations, and troubleshooting steps for both technical and non-technical audiences
Learning: Stay updated on the latest developments in AI governance and related technologies to guide customers and inform product enhancements

What we offer

ModelOp offers full benefits, including a retirement package and comprehensive health insurance

Fulltime

Private Cloud AI Solution Architect

The Private Cloud AI Solution Architect is responsible for architecting solution...

Location

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Comprehensive knowledge of Generative AI (GenAI) and the ability to demonstrate, design, and architect solutions
Overall solutioning responsibility for HPE Private Cloud AI solutions that allow the customer to accommodate existing architectures providing a managed-service model data privacy, governance and compliance in order to achieve workloads like inference to achieve predictable operating costs
A track record of delivering AI, private cloud, or enterprise IT solutions with measurable success
Familiarity with NVIDIA-based solutions and HPE’s AI technologies is highly desirable
8–12 years of technical experience in IT with a focus on technical consulting and solution selling
Advanced experience participating in and leading solution configurations and the creation of demos and proofs-of-concept (POC) to meet customer requirements
Advanced understanding of the company portfolio of products, software, services, solution domain specialization, adjacent solution domain(s), and how they can be combined to address customer needs
Advanced ability to translate aaS and complete ecosystem, differentiated value, solutions, and workloads and ability to prioritize aaS offerings and consumption models that will achieve the customer’s outcomes and greatest return
Advanced understanding of aaS business model variations
Advanced ability to collaborate cross-functionally to ensure consistency of output and meet aaS strategic goals

Job Responsibility

Develops compelling customer proposals and critically reviews them, manages the expectations of internal stakeholders and customers, ensuring the meeting of customer’s business and technical requirements are met
Quantifies the impact of the business problem(s), positions business value, identifies the strengths and weaknesses of the overall proposed solution to achieve long-term business objectives
Provides input to all global business units to address IT trends, requirements, gaps, or unmet needs
Translates outcome-based solutions into a functional solution design that aligns to the customers business needs, and then translates that functional design into a technical design and architecture that can be scaled to accommodate growth
Communicates how the solution value propositions addresses customer business needs
Tracks leading-edge and emerging technologies
Contributes to industry development for one or more domains through conferences (content support/presentations, demos, booth support) and industry events, while also monitoring social media
Incorporates an understanding of technology trends within the IT industry, as well as the customer’s industry
Actively gathers and applies competitive intelligence as a critical component of account support
Drives the Account Business Planning process, leveraging knowledge of industry trends and the customer’s technical environment

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

AI Solutions Architect

We are looking for a highly skilled AI Architect with deep expertise in Generati...

Location

India , Hyderabad

Salary:

Not provided

NStarX

Expiration Date

Until further notice

Requirements

Minimum 10 years of experience in ML/AI solution architecture
Deep expertise in Generative AI: LLMs, Vision/Video models, Digital Avatars, RAG systems, and multimodal architectures
Strong experience in ML engineering, data pipelines, and scalable model APIs
Hands-on experience with Nvidia GPU systems, CUDA stack, TensorRT, vLLM/Ollama, and model optimization
Experience building AI on edge devices (Intel, AMD, Qualcomm NPUs, AI PCs)
Proficiency in AWS and Azure cloud ecosystems, including GPU-based deployments
Strong knowledge of Python, ML frameworks (PyTorch, TensorFlow), model serving frameworks, and MLOps tools
Proven track record of architecting POC, MVP, and production-grade AI products
Strong architectural documentation and diagramming skills (Mermaid, Draw.io, Lucidchart, ArchiMate)
Excellent communication skills for client presentations and internal leadership discussions

Job Responsibility

Design and architect LLM-based systems using both open-source (Llama, Mistral, etc.) and proprietary (OpenAI, Azure OpenAI, Anthropic, etc.) models
Architect video-based AI systems, including Digital Human Avatars, Video Generation, Video-to-Text, and multimodal pipelines
Build end-to-end GenAI pipelines including data ingestion, preprocessing, retrieval, fine-tuning (LoRA, QLoRA, DAPT), evaluation, guardrailing, and deployment
Define and orchestrate data pipelines, ML workflows, vector search architecture, and embedding strategies
Build scalable, secure ML engineering wrappers around models (inference servers, orchestration layers, API microservices)
Oversee experimentation frameworks, evaluation methodologies, and MLOps integration
Architect AI solutions on AWS and Azure (preferred), including GPU clusters, model hosting, DevOps/MLOps, and autoscaling
Work with Nvidia GPU server stacks (DGX, H200, H100, L40S) and edge AI systems (Intel, AMD, Qualcomm AI PCs)
Optimize AI workloads across heterogeneous compute environments
Lead AI architecture across POC → MVP → GA → production-scale phases

What we offer

Competitive base + commission
Fast growth into leadership roles

Fulltime

AI ML Architect

At 3Pillar, culture is more than a buzzword. The power of culture, teamwork, and...

Location

Salary:

Not provided

3Pillar Global

Expiration Date

Until further notice

Requirements

Master’s degree in Computer Science, Engineering, Mathematics, or a related field with 12+ years of industry experience in machine learning or data science, with a track record of delivering impactful projects
a Ph.D. is highly desirable
Strong grasp of AI architecture patterns (RAG, agent-based systems, prompt orchestration)
Deep experience with Python, ML libraries (scikit-learn, XGBoost, PyTorch, TensorFlow)
Hands-on with Gen AI APIs (OpenAI, Claude, Gemini), prompt engineering, embeddings, and fine-tuning
Experience designing enterprise AI systems with MLOps (MLflow, Kubeflow, SageMaker Pipelines)
Familiarity with APIs, microservices, and containerization (Docker, Kubernetes)
Experience in Data Governance, Model Risk Management, and compliance
Extensive knowledge of machine learning theory, algorithms, and methodologies
Strong leadership and communication skills, with the ability to influence stakeholders at all levels of the organization

Job Responsibility

Define end-to-end architecture for AI/ML and Gen AI systems including data pipelines, model training/inference, and MLOps
Serve as a strategic technical advisor to clients, leading solution design discussions, presenting AI/ML architectures, and representing 3Pillar in client-facing interactions to drive innovation and business value
Architect scalable solutions using cloud-native AI tools (Azure ML, AWS SageMaker, or GCP Vertex AI)
Lead the integration of Generative AI into components / features leveraging LLMs into enterprise applications using APIs (OpenAI, Gemini and others) or open source models like LLama
Design retrieval-augmented generation (RAG) systems with vector databases (Pinecone, Weaviate, FAISS and similar)
Guide teams on MLOps frameworks for CI/CD, model versioning, monitoring, and automated retraining
Evaluate build-vs-buy decisions and benchmark AI tools/platforms
Evaluate emerging technologies and trends in AI, ML, Gen AI space and recommend adoption strategies
Mentor technical teams and guide solution architects, data engineers, and ML engineers
Ensure ethical and responsible AI practices including bias detection, interpretability, and governance

What we offer

Imagine a flexible work environment – whether it's the office, your home, or a blend of both. From interviews to onboarding, we embody a remote-first approach
You will be part of a global team, learning from top talent around the world and across cultures, speaking English everyday. Our global workforce enables our team to leverage global resources to accomplish our work in efficient and effective teams
We’re big on your well-being – as a company, we spend a whole trimester in our annual cycle focused on wellbeing. Whether it is taking advantage of fitness offerings, mental health plans (country-dependent), or simply leveraging generous time off, we want all of our team members operating at their best
Our professional services model enables us to accelerate career growth and development opportunities - across projects, offerings, and industries
We are an equal opportunity employer. It goes without saying that we live by values like Intrinsic Dignity and Open Collaboration to create cutting-edge technology AND reinforce our commitment to diversity - globally and locally

Fulltime

Presales Architect - Private Cloud AI

Presales Architect role focused on Private Cloud AI for Spain and Portugal regio...

Location

Spain , Las Rozas, Madrid

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

First-level university technical degree or equivalent technical qualifications
4–8 years of technical experience in IT with focus on technical consulting and solution selling
Knowledge-based and experienced-based relevant industry certifications
Well-developed experience participating in solution configurations and creation of demos and proofs-of-concept
Well-developed understanding of company solution offerings and portfolio of products
Well-developed working knowledge with as-a-service (aaS) business model
Well-developed written and verbal communication skills in English and applicable local languages
Well-developed business and financial acumen
Well-developed consultative and value selling skills
Well-developed project and time management skills

Job Responsibility

Architect solutions to achieve customer business outcomes
Develop and articulate compelling proposals
Provide technical expertise to sales teams and customers
Identify key risks and value points for account team
Track industry trends and emerging technologies
Show customers how to migrate/integrate technologies
Design solutions aligned to customer requirements
Participate in deep-dive discussions and articulate value proposition
Collaborate with account team leadership to develop key value propositions
Map right partners to opportunities and transfer knowledge

What we offer

Health & Wellbeing benefits
Personal & Professional Development programs
Unconditional Inclusion environment
Comprehensive suite of benefits supporting physical, financial and emotional wellbeing

Fulltime

Solution Architect - Gen AI & Integration

The Solution Architects are part of the Architecture practice within the CTO org...

Location

Salary:

Not provided

Admiral Group Plc

Expiration Date

Until further notice

Requirements

Experience with anyone API Management & Gateway platform
Experience with one or more major Integration Platform such as TIBCO, MuleSoft, Dell Boomi, Azure Integration Services etc.
Experience in designing data retrieval pipelines (RAG), implementing autonomous LLM orchestration frameworks, and Model Evaluation Services (MES) frameworks
Experience in Prompt Management - Strategic approach to prompt versioning, testing, and lifecycle management within production environment
Strong knowledge of integration security best practices
Experience with data exchange formats and transformation techniques
Experience in designing RESTFul APIs and Event-Driven Architectures
Experience of applying integration pattern and strong knowledge of architecture styles
Understanding of software delivery pipelines and how solution fits into CI/CD practices
Experience designing and deploying integration solutions within atleast one major cloud environments

Job Responsibility

Together with Lead Solution Architects, provide strong technical solutions for value streams, own those solutions from ideation to delivery, and ensure that business value can be realised through the correct implementation of the solutions
Lead and contribute to governance forums, ensuring solutions adhere to established standards and patterns, identifying and controlling divergences, and escalating where necessary
Build productive relationships with technical and business stakeholders to maintain alignment of technology and business strategies
Contribute to and help maintain a detailed understanding of the architecture for the value stream
Produce documentation of a high-quality and to a detailed level, ensuring that all decision points, building blocks, principles, rationale, roadmaps, and all interdependencies are understood, documented, and communicated across value streams
Contribute to the architecture repository using the Admiral architecture modelling tools and language
Write, or contributes to, articles, and papers and speak at conferences, user groups, or specialist subject groups on topics involved in Architecture. Play a leading role in special interest groups concerned with specialist field
Promote Architecture within Admiral and closely associated organisations
Support innovation by research, create and communicate reports, strategies and industry insights about emerging technologies, products, services, methods and techniques and their potential impacts, threats, and opportunities
Keep the Head of Solution Architecture and the CTO management team informed and escalate where appropriate

What we offer

Everyone receives 33 days holiday (including bank holidays) when they join us, increasing the longer you stay with us, up to a maximum of 38 days (including bank holidays). You also have the option to buy or sell up to an additional five days of annual leave
eligible for up to £3,600 of free shares each year after one year of service
Financial & Mortgage Advice
24-Hour Ecare
Cycle to Work Scheme
Annual Holiday Allowance
Flexible Working
Simply Health
Private Health Cover
Critical Illness Cover

Fulltime

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Ai Technical Architect

Job Description

Job Responsibility

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